The Med-Gemini-L 1.0 model is state-of-the-art on 10 of the 16 text-based medical reasoning tasks that we looked at.
MACHINE LEARNING
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NVIDIA NeMo LLM Training on OpenShift Infrastructure
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Join us on Wednesday, May 8th, as NVIDIA's Richard Wang delves into #LLM training utilizing NVIDIA NeMo on @RedHat OpenShift, powered by @OracleCloud Infrastructure. Don't miss out. #RHSummit https://
redhat.com/en/summit -
Efficient fine-tuning enables GPT-2 to approach GPT-4 performance
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Most likely explanation for gpt2-chatbot: OpenAI has been working on a more efficient method for fine-tuning language models, and they managed to get GPT-2, a 1.5B parameter model, to perform pretty damn close to GPT-4, which is an order of magnitude larger and more costly to
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Present Your JMLR Paper at ICML Journal-to-Conference Track
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Don't forget that you can present your recent JMLR paper at this upcoming ICML's Journal-to-Conference track! https://
icml.cc/public/Journal
ToConference
… Deadline for submitting a request to present is May 3rd this week! -
Responsible AI: Compliance and Security Tactics Explained
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Unlocking ResponsibleAI ’s Potential – Top Compliance and Security Tactics Watch Now: http://
bit.ly/AIGovSecurity Join me, Head of @Infosys #ResponsibleAI Syed Ahmed & host @Ronald_vanLoon as we cover: #AI 's Double-Edged Sword #MachineLearning Security -
Build Home Intruder Detection Web App with OpenCV Gradio
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🎥 New Video Alert 🎥https://t.co/q5hCWQ7Al4
— Satya Mallick (@LearnOpenCV) 30 avril 2024
In our latest fun tutorial, we're going to build a web app that can detect home intruders using OpenCV and Gradio.#ai #computervision #gradio #opencv #deeplearning pic.twitter.com/bK0Dr2TvTzNew Alert https://
youtube.com/watch?v=rsi2TR
OixFc
… In our latest fun tutorial, we're going to build a web app that can detect home intruders using OpenCV and Gradio. #ai #computervision #gradio #opencv #deeplearning -
Predibase Launches 10x Faster Fine-tuning Stack with Llama3 Support
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Announcement: New Improved #Finetuning Stack—10x Faster Training! Here are the highlights: New #training stack up to 10x faster + better model quality #Llama3 available for inference + fine-tuning New Python #SDK: More consistent and robust
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LLMs are poor judges of ASCII art, votes should be excluded
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Human preference LLM arenas are poorly suited for evaluating ASCII art because the ASCII art that most impresses a human is often verbatim regurgitation of an existing human work and this is rarely true for text. Votes on ASCII art should be detected and thrown out IMO.
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Emergent Abilities Plotted Against Pretraining Loss in New Paper
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Enjoyed this paper that plots emergent abilities with pretraining loss on the x-axis, which is actually a suggestion that @OriolVinyalsML also made a few years back: https://
arxiv.org/abs/2403.15796 The paper uses intermediate checkpoints to plot a variety of pretraining losses. For some -
Data Science Co-Pilot Boosts Productivity by 50%
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Increase your productivity by 50%!
— Abacus.AI (@abacusai) 29 avril 2024
Our data science co-pilot can:
•Analyze and clean your data
•Create plots and visualize data
•Train predictive models
You can set up a RAG system or fine-tune your models easily pic.twitter.com/ISLgvVl4l5Increase your productivity by 50%! Our data science co-pilot can: •Analyze and clean your data
•Create plots and visualize data
•Train predictive models You can set up a RAG system or fine-tune your models easily